Dispersion modelling using ensemble forecasts, compared to ETEX measurements
Numerous numerical models are developed to predict long range transport of hazardous air pollution in connection with accidental releases. When evaluating and improving such a model, it is important to detect uncertainties connected to the meteorological input data. A Lagrangian dispersion model, the Severe Nuclear Accident Program, is here used to investigate the effect of errors in the meteorological input data due to analysis error.
Bibliographic Reference: Article: Journal of Applied Meteorology (1998)
Record Number: 199810747 / Last updated on: 1998-06-22
Original language: en
Available languages: en